Muda, Mona Arif and Foulonneau, Alban and Bigué, Laurent and Gendre, Luc (2017) Leaves Curl Identification Using NIR Polarimetric Signatures. ARPN Journal of Engineering and Applied Sciences, 12 (12). pp. 3827-3831. ISSN 1819-6608

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Abstract

We consider passive polarimetric near infra-red imaging systems that measure the three first elements of the Stokes vector and deduce from them the degree of linear polarization and the angle of polarization in near infra-red spectrum for analyzing plant leaves. By using the variance of the angel of polarization from each sample leaf, we identify the curl of the leaf surface and compare it to other sample leaves. The identification will be useful for the next research and application in leaves classification, especially in plant diseases and its level which can be detected by its leaves.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Depositing User: Mona Arif Muda Batubara
Date Deposited: 10 Nov 2017 15:29
Last Modified: 10 Nov 2017 15:29
URI: http://repository.lppm.unila.ac.id/id/eprint/4264

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